Hybrid Duty Ratio Phase-Shift Modulation for a Si plus SiC Neutral-Point-Clamped Dual-Active-Bridge Converter

Article Engineering, Electrical & Electronic

Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency

Xinze Li et al.

IEEE Journal of Emerging and Selected Topics in Power Electronics (2023)

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Article Engineering, Electrical & Electronic

AI-Based Design with Data Trimming for Hybrid Phase Shift Modulation for Minimum-Current-Stress Dual Active Bridge Converter

Fanfan Lin et al.

IEEE Journal of Emerging and Selected Topics in Power Electronics (2023)

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Article Engineering, Electrical & Electronic

Autonomous Input Voltage Sharing Control and Triple Phase Shift Modulation Method for ISOP-DAB Converter in DC Microgrid: A Multiagent Deep Reinforcement Learning-Based Method

Yu Zeng et al.

Summary: This article proposes a multiagent deep reinforcement learning (DRL) based approach for controlling input voltage sharing and modulation in an input-series output-parallel dual active bridge converter. The proposed method addresses the challenges of uncertainties in the dc microgrid, power balance, and current stress minimization. The control and modulation problem is formulated as a Markov game and solved using the MA twin-delayed deep deterministic policy gradient (MA-TD3) algorithm. Simulation and experimental results demonstrate the effectiveness of the proposed approach.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2023)

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Article Engineering, Electrical & Electronic

Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter With Minimized Current Stress

Xinze Li et al.

Summary: The dual active bridge (DAB) converter is popular for its high power density and bidirectional power transfer capacity. The triple phase shift (TPS) technique is considered as one of the most advanced modulation techniques for DAB converter, improving power efficiency significantly. However, minimizing current stress in DAB converter under TPS modulation faces challenges in analysis process and realization process.

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2023)

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Article Automation & Control Systems

Hybrid Input-Series-Output-Series Modular DC-DC Converter Constituted by Resonant and Nonresonant Dual Active Bridge Modules

Changjiang Sun et al.

Summary: This article proposes a hybrid ISOS converter composed of SR-DAB and PS-DAB modules for flexible control and high-efficiency conversion. The NR-DAHB converters are used for voltage sharing at the output stage of the ISOS system. Hardware experiments verify the performance of the proposed system.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

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Article Automation & Control Systems

Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters

Xinze Li et al.

Summary: Parameter design is crucial for the overall performance of power converters. Traditional and computer-aided optimization (CAO) approaches are the existing methods. This article proposes an artificial-intelligence-based design (AI-D) approach to automate the parameter design process using simulation tools, batch-normalization neural network, and genetic algorithm.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

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Article Engineering, Electrical & Electronic

Thermal Characterization of Silicon Carbide MOSFET Module Suitable for High-Temperature Computationally Efficient Thermal-Profile Prediction

Mengxing Chen et al.

Summary: This article characterizes the thermal behavior of a commercialized silicon carbide (SiC) power MOSFET module and proposes a temperature-dependent Cauer-type thermal model, suitable for predicting high-temperature thermal profiles efficiently.

IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2021)

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Proceedings Paper Green & Sustainable Science & Technology

Hybrid Si plus SiC Neutral-Point-Clamped Dual-Active-Bridge Converter for High-Voltage Battery Energy Storage Systems

Jiaxin Dong et al.

Summary: This paper introduces a novel hybrid NPC DAB converter for battery energy storage systems, which offers advantages such as reduced voltage stress and electromagnetic interference. Combined with wide-bandgap semiconductors, the converter can achieve better efficiency under high frequency operation.

2021 IEEE 12TH ENERGY CONVERSION CONGRESS AND EXPOSITION - ASIA (ECCE ASIA) (2021)

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Article Computer Science, Information Systems

High-Voltage Stations for Electric Vehicle Fast-Charging: Trends, Standards, Charging Modes and Comparison of Unity Power-Factor Rectifiers

Iker Aretxabaleta et al.

Summary: This paper reviews the most relevant issues in EV charging station power topologies, including the impact of battery technology, current standards, and proposed power converters. Five unidirectional three-phase rectifier topologies have been proposed to enhance the current limitations of chargers, such as poor efficiency and power factor. Simulation results show that the Vienna 6-switch and Vienna T-type rectifier are the topologies with the best overall performance, improving power factor without sacrificing efficiency and increasing the reliability of the converter.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

Model Predictive Control With Triple Phase Shift Modulation for a Dual Active Bridge DC-DC Converter

Seema Mir Akbar et al.

Summary: This paper introduces an MPC-based control approach with current stress optimized TPS modulation to achieve fast dynamic response and maintain desired output voltage level. The prediction model and computation of inner phase shifts ensure accurate control problem solving, with simulation and experimental results demonstrating the algorithm's advantages.

IEEE ACCESS (2021)

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Article Engineering, Electrical & Electronic